PARAGON RESEARCH

A maioria das blockchains ainda segue o mesmo modelo: você paga taxas de gás toda vez que interage com a rede. Seja Ethereum ou qualquer L1/L2, os usuários são forçados a gerenciar constantemente saldos, lidar com a volatilidade das taxas e pensar sobre os custos antes de fazer qualquer coisa. Funciona, mas sejamos honestos em termos de UX, ainda é bastante complicado.
Captura de tela de altas taxas de gás do ethereum
Midnight adota uma abordagem diferente ao dividir o sistema em NIGHT e DUST, e isso não é apenas uma mudança cosmética. Em vez de usar um token para tudo, o Midnight separa o valor econômico do uso da rede, o que é algo que a maioria das cadeias não resolveu muito bem.

A privacidade em cripto tradicionalmente seguiu dois caminhos.
De um lado, você tem cadeias como Zcash, que se concentram fortemente na privacidade criptográfica, mas muitas vezes vêm com complexidade e integração limitada. Do outro lado, projetos mais novos tentam construir privacidade diretamente nas camadas de aplicação, mas lutam para escalar ou atrair liquidez real.
A meia-noite fica em algum lugar entre e essa posição pode ser sua maior vantagem.
Em vez de construir uma cadeia de privacidade isolada, @MidnightNetwork é projetado como uma camada de privacidade conectada ao ecossistema Cardano. Isso significa que não precisa iniciar tudo do zero. Pode aproveitar a infraestrutura existente do Cardano, o modelo de segurança e a base de usuários, enquanto adiciona uma camada de privacidade programável por cima.

Um dos maiores pontos cegos no crypto hoje não é a escalabilidade, é a privacidade.
Eventos recentes como grandes liquidações e “caça a posições” destacam como blockchains transparentes expõem a atividade do usuário. Embora a transparência crie confiança, também torna estratégias, posições e alvos de liquidez visíveis em tempo real.
É aqui que @MidnightNetwork posições se diferenciam.
Construído como uma sidechain focada em privacidade para Cardano, Midnight usa provas de conhecimento zero para permitir transações que são privadas por padrão, mas ainda verificáveis. Em vez de esconder tudo como as moedas tradicionais de privacidade, apresenta um modelo de privacidade racional, onde apenas os dados necessários são revelados.

One of the biggest contradictions in crypto today is: We talk about decentralization and privacy yet most users eventually end up uploading passports, ID cards, and personal data to centralized platforms.
From exchanges to airdrops, KYC has become almost unavoidable. And every experienced crypto user knows the risk. Data leaks happen. Databases get hacked. Identity information gets resold.
How can Midnight enable KYC verification without exposing users’ personal data?
Because the current model clearly has problems.
The hidden risk behind traditional KYC
Traditional KYC systems follow a simple process. You submit your identity documents. A platform verifies them. Then those documents are stored somewhere in a database. In theory, this helps prevent fraud.
In practice, it creates massive databases filled with extremely sensitive data. And history shows these databases get compromised. Data leaks from exchanges and fintech platforms have already exposed millions of identity records over the years.
This is where Midnight’s privacy architecture becomes interesting. Instead of storing identity information, @MidnightNetwork explores a model where verification happens without revealing the underlying data.
Midnight approaches the problem from a different angle by using zero-knowledge cryptography and selective disclosure. Instead of requiring users to reveal their entire identity, Midnight’s infrastructure allows individuals to prove specific statements about themselves without exposing the underlying data. A user could demonstrate that they are over 18 years old, that they passed a compliance check, or that they are from an approved jurisdiction without revealing their passport number, home address, or full identity record.
The concept behind Midnight is not to eliminate verification entirely but to separate verification from identity exposure. In other words, the system confirms that certain conditions are met without forcing users to disclose more information than necessary.
To understand why this matters, consider a simple example. Imagine a DeFi application that requires participants to pass a jurisdiction check. In a traditional model the user might upload their passport to the platform, which then stores that data in its internal database. This creates an ongoing risk because the platform becomes responsible for protecting sensitive documents. In a Midnight-based system the process would look different. A user completes identity verification through a compliant provider once, and afterward the user interacts with applications on Midnight by presenting a cryptographic proof that they meet the requirement. The application receives confirmation that the rule is satisfied, but it never gains access to the underlying identity data.
This approach changes how developers and platforms think about compliance. Instead of collecting and storing large amounts of personal information, applications built on Midnight can rely on privacy-preserving verification proofs. For users, this reduces the amount of sensitive data circulating through the ecosystem. For developers, it lowers the liability associated with managing identity databases.
A common misconception among newer crypto participants is that privacy technologies are primarily about anonymity. Midnight’s design suggests a more nuanced view. In many real-world financial systems, verification cannot simply disappear. Regulatory frameworks, institutional adoption, and financial infrastructure all require some form of identity assurance. The challenge is finding ways to maintain compliance while minimizing unnecessary exposure of personal data. Midnight’s selective disclosure model attempts to address exactly that balance.
Another mistake beginners often make is underestimating the role of infrastructure in the long-term evolution of crypto. Market attention frequently gravitates toward tokens, price movements, and short-term narratives, but foundational layers such as identity systems, privacy frameworks, and verification mechanisms often determine whether blockchain technology can scale beyond speculation.
Seen from that perspective, #night is less about creating another privacy coin and more about experimenting with a different form of privacy infrastructure. By combining zero-knowledge proofs with selective disclosure, Midnight explores how identity verification might work in decentralized systems without recreating the same centralized data risks that exist today.
Whether $NIGHT ultimately becomes a dominant solution remains uncertain. However, the underlying idea reflects a broader shift within the industry. Instead of choosing between total transparency and absolute anonymity, the next generation of blockchain systems may focus on revealing only the information that is truly necessary.
If that direction proves viable, projects like Midnight could play an important role in shaping how privacy, compliance, and identity coexist in the future of crypto.